Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated o...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2018
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/17593
- Acceso en línea:
- https://directory.doabooks.org/handle/20.500.12854/47470
http://hdl.handle.net/20.500.12010/17593
- Palabra clave:
- Gestörte Detektionenfeature-based
Probabilistic
Merkmalsbasiert
Imágenes tridimensionales
Sistemas de imágenes
Video 3D
- Rights
- License
- Abierto (Texto Completo)
| Summary: | This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations. |
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